EuroStat & Countries Data - 2022 Births Data

Another dive in births data (and Neonatal Mortality) - illustrating that a major fertility problem affects (at least) Europe, and requires transparent investigations.

Introduction

Pfizer recently released its disastrous clinical trial data results¹ on pregnancies. Over the last weekend, Jessica Rose², Jikkyleaks, and Geoff Pain³ all made interesting points we invite you to consult. The Mouse has provided a short but precise summary of these results below (you can access the tweets quoted in this post, by clicking their picture).

It is concerning to hear that the results are as bad, or even worse, than expected, especially in light of the initial “missing results” alert raised by Maryanne Demasi in February⁴. We have already expressed multiple concerns regarding the potential fertility impacts of the current “health” policies.

Our attention was brought to the issue by an analysis by Christine Cotton of VAERS data⁵, and firstly we conducted last year our own in-depth analysis of VAERS, which revealed a lack of serious tracking of adverse events, and raised significant concerns: aside for the disastrous data integrity, on the high rate of miscarriages & birth anomalies among the reports⁶.

Secondly, we published detailed articles highlighting the drastic decline in births in Sweden⁷ and the situation in Finland⁸. These findings further emphasized the potential consequences on fertility of the current experiments.

These efforts have been just a drop in the sea of similar concerns. To quote just a few more,

Arkmedic's blog

made an amazing job dismantling the studies compiled by 'vaccine' advocate Viki Male in two dedicated articles⁹ (and providing precious historical perspective, such as “the thalidomide sequel”¹⁰).

Pierre Chaillot, for the French-speaking readers, made an excellent analysis of the European trends, which can be viewed on his YouTube channel¹¹. A paper version, which can be translated to English is also available¹².

Twitter’s Christine “Mackoi”¹³ publishes in depth analytics on the French disaster, which can be consulted on her website¹⁴, and again, the french speakers can watch this presentation of hers to the CSI¹⁵. Viviane Cuendet carries on a similar task on Switzerland’s data¹⁶.

Igor Chudov has also blown the whistle countless times on the matter ; You can find more information on his Substack¹⁷ or his Twitter¹⁸.

Another Substack, kindly pointed to us by

Vigilance per VAERS

, examines the European situation via another angle than the perspective we will present here¹⁹ and is worth reading.

Twitter’s “BirthGauge”²⁰ and Substack’s

Tin Foil Apocalypse 2.0

are two other precious references we discovered recently thanks to

Jackanapes Junction

- all blowing the whistle on the same topic.

We have an accurate idea of the random damages which can and will occur.

Endotoxins inherent to the manufacturing process have been extensively documented by Geoff Pain, along with their potential disastrous impact on women’s fertility²¹, and for the fetus. Males aren’t spared either²². Yet, every Freedom of Information request concerning their measurements on batches distributed to the public returns heavily censored and unreadable²³, to date. Needless to say this censorship is intolerable.

The variability of the product, such as vial quality, storage, and refrigeration are well-documented in the literature, as detailed in this interesting study²⁴. Further, the work of Kevin McKernan²⁵, confirmed by various researchers²⁶, illustrates this variability by batch - and the presence of dsDNA impurities in the products.

Given this overall grim picture, we tackled here visualizations from the EuroStat data, allowing an - as complete as possible to date - view on the European 2022 situation regarding births at country scale.

Problematic

Paul C. “Dobssi”, data analyst who publishes his findings on Twitter, did a commendable job representing the European births crisis in this tweet. However, it's important to note that his interpretation of the data differs significantly from ours. We encourage you to read his thread after this article to gain different perspectives.

In his March 2023 tweet, he shared a chart comparing births from January to June 2022 with the linear trend from 2013 to 2019. This chart, reproduced below, is particularly concerning.

However, we had a few initial questions and criticisms. Firstly, France appeared to have positive signals, which seemed contradictory to what we knew, meaning that France's birth rates were "artificially" inflated by foreigners giving birth on French territory in the DOM-TOMS. This phenomenon has been increasing recently²⁷, and the French institute, INSEE, had also raised concerns about extremely low birth rates²⁸.

Another issue was that Paul C.'s view was limited to six months, which doesn't provide a complete picture of the yearly situation. This limitation may be due to the data source. Births are seasonal, but their “seasonality” isn’t month-conditioned (rather related to the seasons & temperatures²⁹), and we prefer analytics over the full year, not to miss trend changes due to high month variability.

A last concern was that the doses data used, and the “single observation point” angle, seemed like a too simplistic approach to characterize the problem.

To address these concerns, we went to examine EuroStat’s data ourselves, despite our strong (and justified) distrust for data aggregators. We also updated as much as we could the missing data, in order to obtain the 2022 figures from countries' official sources (and exceptionally, in cases like Malta from the press, when the local press is the “official source”). Operations performed on the data are detailed in the method section, following the analytics.

Births Compared to 2013-2019 Baseline

To compare recent birth figures with the "pre-COVID" situation, we took a different approach than our last two papers on the subject, by using a baseline from 2013 to 2019. This aligns with Paul C.'s perspective on the data.

We present the "big picture" through three yearly charts (2020, 2021, 2022). We measured the percentage of change against linear trends, and used z-scores as additional metric.

Note that some countries featured in the reference chart are missing, due to lack of complete 2022 data.

2022

2021

2021 - Z-Score & Linear Trend Change

2020

2020 - Z-Score & Linear Trend Change

Interpreting this data

Obviously, from these updated graphs, something bad is happening, and it’s happening in most places where we have sufficient EuroStat or country-level data to tell.

Firstly, we can note that with a 2013 instead of 2010 baseline start, Sweden drops in 2022 at -8.7 sigma instead of an already record -6.34 we were reporting. Translating for Viki³⁰… both scenarios are not supposed to happen.

The rest of the 2022 year is … an obvious disaster. To the quite puzzling exceptions of Malta & Iceland by z-score, and Ireland, Finland, Italy, Malta, France, Belgium & Netherlands by deviation to linear trend, on which we will present a few more in depth analytics.

All we can conclude from this first dataset is that we have a global major issue, and that it requires in depth study and way stronger data transparency. Factors impacting birth rates are an inherently difficult problem to study, yet even to establish.

First of all the problem is multi-factorial and, obviously, lock-downs, economical hardships, and psychological abuse have had a consequent impact, particularly on the poorest populations.

Secondly, regarding ‘vaccines’ themselves, the analysis is complicated by major variables.

What we would really need, having no trust-worthy RCT data³¹, would be anonymized individual data, detailing mother’s ages, vaccination status, dates, lots & batches numbers, health history and pregnancies dates and outcome data. This data (that they have, and which belongs to the public) is jealously guarded by the ‘public’ institutions.

We are left with global figures, affected by countless biases, and new issues.

The undetermined size of each "batch" - which can contain up to a million doses³², or precise public documentation of the areas where they were shipped, is a first limitation.

It is even difficult to find reliable data by age groups and sex on “doses administered”. Aggregators data such as OurWorldInData³³, or modeled data such as HealthData³⁴ are inherently flawed, and are presenting as beautiful, unified, and clean datasets something which is, in reality, a sh*t storm of data conflicts, different mods of data collection, diffusion, and human errors.

Paul C. advances several arguments to discard the hypothesis of “vaccines” being a probable cause.

• “The higher the vaccine rates, the higher the births”. As we shall review (a work originally done by Twitter’s “Mackoi” and developed by Pierre Chaillot), the data tells us a different story, and the neonatal deaths are significantly rising with the vaccination campaigns in countries studied. That such signals are visible beyond the statistical noise tells us a major new factor is at play.

• Counter-examples of countries with positive percentage to trend are presented. As we illustrate below, these are countries whose trends were already disastrous prior COVID & vaccines, and which remains decreasing.

• Counter-examples of countries (Romania, Bulgaria) with decreasing percentage to trend, despite low vaccination rates, are presented. They were also subject to major factors such as extreme poverty prior pandemic, worsened by the lock-downs, and are the poorest countries among these currently studied³⁵.

Vaccination of Women at pregnancy ages & Neonatal Deaths

We first focused on reviewing the situation of France, which constitutes a good case study, with a slightly positive deviation to linear trend and a negative z-score.

We picked the metropolitan figures according to INSEE’s data, which doesn’t impact much the linear trend.

We then cared about monthly infant deaths per 1000 births, again occurring in the metropolitan area.

Metropolitan France’s Births Trends & Neonatal Deaths

The deaths records are available on INSEE’s data, with yearly files for the most recent years³⁶, and archive files for 2010-2019³⁷. We used only the 2013 → 2022 files, which are cleaned from encoding errors, reformatted & synthesized in the following JSON file³⁸.

The monthly births in Metropolitan France are available on this INSEE page³⁹ - and we represented the yearly percentage of deviation to the 2013-2019 linear trend below.

France, at 781 621 births in 2013, and 714 029 births in 2019 (dropping by 67 592, -8,6% over 7 years), shows a timid increase toward a disastrous trend in 2021, and falls back to the decreasing trend in 2022.

The z-score compared to the 2013-2019 metropolitan baseline is :

• -1,821 for 2020

• -1,636 for 2021

• -2,171 for 2022.

It’s therefore hard to discern any positive signal regarding the safety of the ‘vaccines’ from such low positive deviation.

We can further investigate a potential impact of ‘vaccines’ (the injections, first not recommended⁴⁰, became opened to pregnant women since April 15 2021⁴¹).

Shall the products be safe for pregnant women, we should see no impact on negative metrics such as neonatal mortality (babies deceased during <= 28 days of life). On another hand shall the product cause a risk for the pregnant women & their child, we should observe an increase of difficult & early births, along with birth defects, translating in an increase of the neonatal deaths.

We reproduced (with small variations related to the geographic scope and time covered by the baseline) the work of Christine “Mackoi”⁴², and calculated the expected deaths, based on each month’s births, and a 2013-2019 mean of deaths under or equal 28 days (2.496 deaths / 1000 births).

The June 2021 spike (Poisson’s probability for this event to happen = 0.000009) stands out as an obvious outlier, and while we could expect 143.5 deaths on the 57 482 births, 197 are observed.

The most significant variation of neonatal deaths occurred, in France… immediately after the designation of pregnant women as a population to prioritize.

Unfortunately we can’t reproduce this last analysis on the entire Europe.

First because EuroStat doesn’t provide updates to its infant & neonatal death statistics since 2020⁴³ (why would you monitor that closely while deploying experimental treatments during a pandemic…). Second because most countries’ statistical institutes aren’t providing sufficient granularity.

Scotland’s neonatal deaths.

Scotland’s statistical institute provides a satisfying neonatal deaths overview⁴⁴.

Starting in April 2021, vaccination had been available to pregnant women in their third trimesters.

In August 2021, the JCVI (Joint Committee on Vaccination and Immunisation) recommended vaccination for pregnant women in any semester⁴⁵. In September, the neonatal death rate took off far above confidence intervals, triggering, with another outlier in 2022, an investigation on the phenomenon in Scotland⁴⁶.

These two alarming observations are also consistent with the findings of David Schuldman⁴⁷, highlighted and developed by Josh Guetzkow in a December 2022 article⁴⁸, which illustrated a spike in Neonatal deaths in Israeli data, during the roll-out to pregnant women.

Shall you be aware of other states allowing sufficient granularity (weekly of monthly figures on both neonatal deaths & live births) to study the phenomenon on the same angle, please communicate them in the comments. We checked without success Belgium, Ireland, Italy, Finland, Germany, Greece, Hungary, Netherlands, Slovenia, South Korea, Sweden, and Switzerland - but it’s easy to miss some page deployed in the emergency measures which could yield useful data.

Other countries with positive births to linear trend

Netherlands’ point has already been satisfactorily explained by Pierre Chaillot, to whom we also borrowed the above Scottish point (in Netherlands’ case, a massive spike of immigration composed mostly of people in reproductive age⁴⁹).

Malta & Iceland being very small islands & populations, they are highly subjects to batch-level variables we can’t control, and have poor granularity at state level data. They therefore didn’t appeared as key priorities (although we would love to have sufficient data to study Malta further, as the main outlier by both z-score & deviation to linear trend).

Ireland

Ireland presents the same kind of strongly decreasing trend (-14% over 7 years) than France, as represented below.

It also has very specific demographic characteristics (high marriage rate, high rates of Catholic citizen, etc.), and, with the very positive signal noted on 2022’s first half by Paul C. strongly reduced, it doesn’t appear to us as a valid counter-signal to the trends observed in much larger countries.

Nevertheless, the situation of Ireland’s re-bounce will require further (and later) investigations.

Finland

As will the situation in Finland, which - while remaining negative in z-score, escapes the rest of the European countries to plunder far below linear trend.

We already mentioned Finland, and our interpretation doesn’t change at this stage. “Less bad than planned” doesn’t constitute a positive signal against the major red flags we highlighted in other countries.

EuroStat Births Sources & Data Integrity Issues

We used two datasets for our analysis. The first one (dataset 1) was the one referenced by Paul C.⁵⁰ in the thread quoted above. The second one⁵¹ (dataset 2), which we used as data integrity control, was taken on this page.

Of course checking the data integrity of aggregators is always a good idea, and we found serious offsets in births figures of their own datasets. To quote a few:

• Moldova 2014 : 38 616 in dataset 1 ; 40 909 in dataset 2.

• Moldova 2016 : 37 394 in dataset 1 ; 39 961 in dataset 2.

• Romania 2018 : 202 744 in dataset 1 ; 210 290 in dataset 2.

When two values were conflicting by more than 50 births, pending an answer from EuroStat, we used the highest figure (always in favor of dataset 2). We considered the lowest were provisional figures which hadn’t been adjusted properly in one dataset compared to the other - awaiting for a better explanation.

Countries missing baseline data.

Some countries were lacking baseline data & were excluded :

• Andorra

• Albania

• Belarus

• Bosnia and Herzegovina

• Georgia

• Moldova

• Russia

• San Marino

Births Data Completion

In several instances, the complete yearly figures for 2022 are missing. European countries concerned are Austria, Belarus, Belgium, Bulgaria, Cyprus, Croatia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Montenegro, Netherlands, Norway, Poland, Portugal, Romania, Russia, San Marino, Serbia, Slovenia, Slovakia, Sweden, Switzerland, Turkey, Ukraine & United Kingdom.

When these countries data were available on the official websites, we used country-level totals:

• Austria’s 2022 births are located on their website⁵².

• Belarus’s data couldn’t be located.

• Belgium’s 2022 (provisional) births are located on their website⁵³.

• Bulgaria’s 2022 births are located on their website⁵⁴.

• Cyprus’s data couldn’t be located.

• Croatia’s 2022 births are located on their website⁵⁵.

• Czech Republic’s data are on their website, along with an alarm on births “sharp drop”⁵⁶.

• Denmark’s 2022 births are located on their website⁵⁷.

• Estonia’s 2022 births are located on their website⁵⁸.

• Finland & Sweden data was completed based on our previous articles (sourced above).

• Germany’s 2022 (provisional) births data are located on their website⁵⁹.

• Greece’s data are on their website⁶⁰, but last publication is 2021.

• France’s 2022 provisional births numbers are located on their website⁶¹.

• Hungary’s 2022 births numbers are located on their website⁶².

• Iceland’s 2022 births numbers are located on their website⁶³.

• Ireland’s 2022 births numbers are located on their website⁶⁴.

• Italy’s 2022 births numbers are located on their website⁶⁵.

• Latvia’s 2022 births numbers are located on their website⁶⁶.

• Liechtenstein’s data are on their website⁶⁷, but last publication is 2020.

• Lithuania’s data are on their website⁶⁸, but last publication is 2021.

• Luxembourg’s data are on their website⁶⁹, but last publication is 2021.

• Malta’s provisional births can be found on the local press (ministry figures)⁷⁰.

• Moldova’s provisional births can be found on the government’s website⁷¹.

• Montenegro’s 2022 births are located on their website⁷².

• North Macedonia’s 2022 births are located on their website⁷³.

• Netherland’s 2022 births are located on their website⁷⁴.

• Norway’s 2022 births are located on their website⁷⁵.

• Poland’s GSU figures are reported by multiple press articles but aren’t yet categorized on their website⁷⁶.

• Portugal’s 2022 births are located on their website⁷⁷.

• Romania’s press reports historic lows, but 2022’s data isn’t yet final⁷⁸.

• Russia’s data couldn’t be located⁷⁹.

• UK’s data isn’t updated since 2019 in EuroStat - refer to this thread by Jessica Rose for 2022 figures⁸⁰. We will focus on it in a later post.

• Serbia’s 2022 births are located on their website⁸¹.

• Slovenia’s 2022 births are located on their website⁸².

• Slovakia’s 2022 births are located on their website⁸³.

• Spain’s data are on their website⁸⁴, but last publication is 2021.

• Switzerland’s 2022 births are located on their website⁸⁵.

• Turkey’s 2021⁸⁶ & 2022 births are located on their website⁸⁷.

• Ukraine’s situation is obviously a particular case and hasn’t been processed.

The dataset used (.CSV) to build the yearly charts can be found on this Google SpreadSheet⁸⁸.

The code required to reproduce the analytics presented is available on the following .zip file (to unzip in your regular “openvaet” project folder, cloned from GitHub), and will join GitHub once some hardware’s betrayals will be sorted out.

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19. European births slideshow reloaded

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How long are the DNA fragments in BNT162b2?

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Fichier des décès - année 2022

Fichier des décès - année 2021

Fichier des décès - année 2020

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Fichier des décès - années 2010 à 2019

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Configured export can be accessed directly here.

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Chart 3 Live births, quarterly data (absolute numbers)

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